This blog will take you through use cases at each level to help you determine which CDP features are relevant to your situation and find the CDP that will help you meet your current and future business needs.
Data maturity levels can be broken down across four maturity levels, from least to most mature: Foundational, Insight and Experimentation, Omnichannel Engagement, and Continuous Optimization. To find the right CDP, marketers need to consider their current data maturity and how it can be used as well as what their future goals are and what data will be needed to achieve those goals.
To maintain journey concurrency and reach customers in the right moment with personalized content, many brick-and-mortar and ecommerce brands have started to consider using a customer data platform to unify and orchestrate their customer data. With interactions occurring across many devices and channels, retailers can no longer rely on legacy systems to understand who their customer is, how and when to reach them, and how to measure the influence of marketing, product, and engineering initiatives on the bottom line.
